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pro vyhledávání: '"Abdessamad Amir"'
Autor:
Rachid Belgacem, Abdessamad Amir
Publikováno v:
Journal of King Saud University: Science, Vol 30, Iss 4, Pp 561-567 (2018)
A new deflected subgradient algorithm is presented for computing a tighter lower bound of the dual problem. These bounds may be useful in nodes evaluation in a Branch and Bound algorithm to find the optimal solution of large-scale integer linear prog
Externí odkaz:
https://doaj.org/article/67c82d3bf2be461eb6f254ed41e71e01
Autor:
Abdessamad Amir, Rachid Belgacem
Publikováno v:
Journal of King Saud University: Science, Vol 30, Iss 4, Pp 561-567 (2018)
A new deflected subgradient algorithm is presented for computing a tighter lower bound of the dual problem. These bounds may be useful in nodes evaluation in a Branch and Bound algorithm to find the optimal solution of large-scale integer linear prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ea152877ec291c4808ca181d1fc3943
http://www.sciencedirect.com/science/article/pii/S1018364717304081
http://www.sciencedirect.com/science/article/pii/S1018364717304081
Publikováno v:
General Letters in Mathematics, Vol 5, Iss 1, Pp 32-46 (2018)
The aim of this paper is to present a numerical method based on Bernoulli polynomials for numerical solutions of fractional differential equations(FDEs). The Bernoulli operational matrix of fractional derivatives[31] is derived and used together wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::739f59808a6dfa68e0519efd1bb40559
https://doi.org/10.31559/glm2018.5.1.5
https://doi.org/10.31559/glm2018.5.1.5
Publikováno v:
International Journal of Mathematical Modelling and Numerical Optimisation. 11:196
By formulating the generalised Newton descent direction according to the parameter resulting from the calculation of the subgradient of the max function, a new version of NSVM (Fung and Mangasarian, 2004) is presented in this paper. This descent dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d219469a8cafe6e51f451beff29441
https://doi.org/10.1504/ijmmno.2021.10035562
https://doi.org/10.1504/ijmmno.2021.10035562
Autor:
Abdessamad Amir, Naima Djelloul
Publikováno v:
International Journal of Computing Science and Mathematics. 10:580
For several types of machines learning problems, the support vector machine is a method of choice. The kernel functions are a basic ingredient in support vector machine theory. Kernels based on the concepts of orthogonal polynomials gave the great sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fc19a591e51d719d3db61784925799f
https://doi.org/10.1504/ijcsm.2019.10025670
https://doi.org/10.1504/ijcsm.2019.10025670